JPMorgan Chase-posted 2 months ago
$138,000 - $165,000/Yr
Full-time • Mid Level
Chicago, IL
Credit Intermediation and Related Activities

The position involves transforming customer data into actionable insights to shape key business and marketing strategies. The role requires utilizing advanced analytics techniques to extract meaningful patterns and trends, translating them into actionable insights. The candidate will apply statistical analysis and data visualization tools to interpret complex data and drive informed business decisions. Responsibilities include delivering exceptional business intelligence through dashboards and executive reporting to evaluate customer engagement, digital interaction, and account performance, sharing insights with stakeholders. The role also involves leading the analysis of strategic initiatives to optimize customer journeys across digital and offline channels, identifying friction points, enhancing discoverability, and boosting conversion rates of omni-channel shopping experiences. The candidate will use advanced analytics to uncover customer shopping preferences, channel migration, and product affinity, identifying growth opportunities and driving targeted strategies while optimizing overall portfolio performance. Additional duties include consulting on experiment designs and data collection, assessing campaign performance, and effectively communicating findings and recommendations to senior leadership. The candidate will oversee customer behavioral and shopping funnel analytics projects from start to finish, providing actionable insights and recommendations to senior leaders. Collaboration with cross-functional teams across marketing, product, technology, and research is essential to ensure the successful launch of personalized digital experiences and growth-driven initiatives, including building dashboards for real-time campaign performance tracking and addressing technical issues. The role also involves managing target setting and developing tracking to monitor key performance indicators, collaborating with analytics teams to share learnings and techniques, and mentoring and training new and junior members.

  • Transform customer data into actionable insights to shape key business and marketing strategies.
  • Utilize advanced analytics techniques to extract meaningful patterns and trends.
  • Apply statistical analysis and data visualization tools to interpret complex data.
  • Deliver exceptional business intelligence through dashboards and executive reporting.
  • Lead the analysis of strategic initiatives to optimize customer journeys across digital and offline channels.
  • Identify friction points, enhance discoverability, and boost conversion rates of omni-channel shopping experiences.
  • Use advanced analytics to uncover customer shopping preferences and identify growth opportunities.
  • Consult on experiment designs and data collection, assess campaign performance.
  • Effectively communicate findings and recommendations to senior leadership.
  • Oversee customer behavioral and shopping funnel analytics projects.
  • Collaborate with cross-functional teams to ensure successful launch of personalized digital experiences.
  • Manage target setting and develop tracking to monitor key performance indicators.
  • Collaborate with analytics teams to share learnings and mentor junior members.
  • Master's degree in Business Analytics, Data Science, Mathematics, Statistics, Economics, Finance, or related quantitative field plus 3 years of experience in the job offered or related occupation.
  • Alternatively, a Bachelor's degree in the same fields plus 5 years of experience in the job offered or related occupation.
  • Experience with SQL (including CTE, window functions, and dynamic SQL) and Python (including Pandas, NumPy, scikit-learn, Seaborn) for data manipulation.
  • Utilizing probability and statistical analysis, including regression techniques.
  • Automating recurring reports and dashboards using ETL techniques and Alteryx workflows.
  • Experience with big data platforms including Teradata, Hadoop, and Snowflake.
  • Ability to design and maintain dynamic, interactive dashboards in Tableau.
  • Conduct exploratory data analysis (EDA) on large enterprise databases.
  • Utilize Adobe Analytics for customer behavior analysis.
  • A/B test results to validate digital strategies.
  • Develop interactive Excel and PowerPoint reports with advanced functions.
  • Utilizing Unix commands for data manipulation and processing tasks.
  • Project management skills for marketing campaigns using Confluence and SharePoint.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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